best of ml python

2025-12-10 0 763

Best-of Machine Learning with Python

?  A ranked list of awesome machine learning Python libraries. Updated weekly.

This curated list contains 920 awesome open-source projects with a total of 5M stars grouped into 34 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an issue, submit a pull request, or directly edit the projects.yaml. Contributions are very welcome!


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Contents

  • Machine Learning Frameworks 63 projects
  • Data Visualization 55 projects
  • Text Data & NLP 103 projects
  • Image Data 64 projects
  • Graph Data 36 projects
  • Audio Data 29 projects
  • Geospatial Data 22 projects
  • Financial Data 25 projects
  • Time Series Data 29 projects
  • Medical Data 19 projects
  • Tabular Data 6 projects
  • Optical Character Recognition 12 projects
  • Data Containers & Structures 1 projects
  • Data Loading & Extraction 1 projects
  • Web Scraping & Crawling 1 projects
  • Data Pipelines & Streaming 2 projects
  • Distributed Machine Learning 36 projects
  • Hyperparameter Optimization & AutoML 52 projects
  • Reinforcement Learning 23 projects
  • Recommender Systems 17 projects
  • Privacy Machine Learning 7 projects
  • Workflow & Experiment Tracking 40 projects
  • Model Serialization & Deployment 20 projects
  • Model Interpretability 55 projects
  • Vector Similarity Search (ANN) 13 projects
  • Probabilistics & Statistics 24 projects
  • Adversarial Robustness 9 projects
  • GPU & Accelerator Utilities 20 projects
  • Tensorflow Utilities 16 projects
  • Jax Utilities 3 projects
  • Sklearn Utilities 19 projects
  • Pytorch Utilities 32 projects
  • Database Clients 1 projects
  • Others 66 projects

Explanation

  • ???  Combined project-quality score
  • ️  Star count from GitHub
  • ?  New project (less than 6 months old)
  • ?  Inactive project (6 months no activity)
  • ?  Dead project (12 months no activity)
  • ??  Project is trending up or down
  • ➕  Project was recently added
  • ❗️  Warning (e.g. missing/risky license)
  • ?‍  Contributors count from GitHub
  • ?  Fork count from GitHub
  • ?  Issue count from GitHub
  • ⏱️  Last update timestamp on package manager
  • ?  Download count from package manager
  • ?  Number of dependent projects
  •   Tensorflow related project
  •   Sklearn related project
  •   PyTorch related project
  •   MxNet related project
  •   Apache Spark related project
  •   Jupyter related project
  •   PaddlePaddle related project
  •   Pandas related project
  •   Jax related project

Machine Learning Frameworks

General-purpose machine learning and deep learning frameworks.

Tensorflow (?55 · 190K) – An Open Source Machine Learning Framework for Everyone. Apache-2
  • GitHub (?‍ 4.9K · ? 75K · ? 540K · ? 41K – 3% open · ⏱️ 17.07.2025):

     git clone https://g**it*hub.com/tensorflow/tensorflow
    
  • PyPi (? 23M / month · ? 9.1K · ⏱️ 12.03.2025):

     pip install tensorflow
    
  • Conda (? 5.7M · ⏱️ 12.06.2025):

     conda install -c conda-forge tensorflow
    
  • Docker Hub (? 80M · 2.8K · ⏱️ 17.07.2025):

     docker pull tensorflow/tensorflow
    
PyTorch (?55 · 92K) – Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3
  • GitHub (?‍ 5.8K · ? 25K · ? 94K · ? 820K · ? 54K – 30% open · ⏱️ 17.07.2025):

     git clone https://gith*u*b.c*om/pytorch/pytorch
    
  • PyPi (? 50M / month · ? 27K · ⏱️ 04.06.2025):

     pip install torch
    
  • Conda (? 28M · ⏱️ 25.03.2025):

     conda install -c pytorch pytorch
    
scikit-learn (?53 · 63K) – scikit-learn: machine learning in Python. BSD-3
  • GitHub (?‍ 3.3K · ? 26K · ? 1.1K · ? 1.3M · ? 12K – 17% open · ⏱️ 16.07.2025):

     git clone https://g*it*hu*b.com/scikit-learn/scikit-learn
    
  • PyPi (? 110M / month · ? 32K · ⏱️ 05.06.2025):

     pip install scikit-learn
    
  • Conda (? 38M · ⏱️ 09.06.2025):

     conda install -c conda-forge scikit-learn
    
Keras (?47 · 63K) – Deep Learning for humans. Apache-2
  • GitHub (?‍ 1.4K · ? 20K · ? 13K – 2% open · ⏱️ 17.07.2025):

     git clone https://gi**th*ub.com/keras-team/keras
    
  • PyPi (? 13M / month · ? 1.9K · ⏱️ 19.05.2025):

     pip install keras
    
  • Conda (? 4.2M · ⏱️ 20.05.2025):

     conda install -c conda-forge keras
    
jax (?46 · 33K) – Composable transformations of Python+NumPy programs: differentiate,.. Apache-2
  • GitHub (?‍ 920 · ? 3.1K · ? 46K · ? 6.4K – 24% open · ⏱️ 17.07.2025):

     git clone https://githu*b.co**m/google/jax
    
  • PyPi (? 9M / month · ? 2.6K · ⏱️ 17.06.2025):

     pip install jax
    
  • Conda (? 2.9M · ⏱️ 31.05.2025):

     conda install -c conda-forge jaxlib
    
XGBoost (?46 · 27K) – Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2
  • GitHub (?‍ 660 · ? 8.8K · ? 18K · ? 170K · ? 5.6K – 8% open · ⏱️ 17.07.2025):

     git clone https://gith**ub.co*m/dmlc/xgboost
    
  • PyPi (? 26M / month · ? 2.5K · ⏱️ 25.05.2025):

     pip install xgboost
    
  • Conda (? 6.3M · ⏱️ 26.05.2025):

     conda install -c conda-forge xgboost
    
PaddlePaddle (?46 · 23K · ?) – PArallel Distributed Deep LEarning: Machine Learning.. Apache-2
  • GitHub (?‍ 1.4K · ? 5.8K · ? 15K · ? 8.6K · ? 20K – 9% open · ⏱️ 17.07.2025):

     git clone https://gith*ub**.com/PaddlePaddle/Paddle
    
  • PyPi (? 480K / month · ? 240 · ⏱️ 29.06.2025):

     pip install paddlepaddle
    
PySpark (?44 · 41K) – Apache Spark Python API. Apache-2
  • GitHub (?‍ 3.3K · ? 29K · ⏱️ 17.07.2025):

     git clone https://git*h*ub.*com/apache/spark
    
  • PyPi (? 43M / month · ? 1.9K · ⏱️ 14.07.2025):

     pip install pyspark
    
  • Conda (? 4.1M · ⏱️ 23.05.2025):

     conda install -c conda-forge pyspark
    
pytorch-lightning (?44 · 30K) – Pretrain, finetune ANY AI model of ANY size on.. Apache-2
  • GitHub (?‍ 1K · ? 3.5K · ? 14K · ? 48K · ? 7.4K – 13% open · ⏱️ 17.07.2025):

     git clone https://gith**ub.com*/Lightning-AI/lightning
    
  • PyPi (? 11M / month · ? 1.7K · ⏱️ 20.06.2025):

     pip install pytorch-lightning
    
  • Conda (? 1.6M · ⏱️ 21.06.2025):

     conda install -c conda-forge pytorch-lightning
    
StatsModels (?44 · 11K) – Statsmodels: statistical modeling and econometrics in Python. BSD-3
  • GitHub (?‍ 460 · ? 3.3K · ? 35 · ? 180K · ? 5.8K – 50% open · ⏱️ 17.07.2025):

     git clone https://*gi*thub.com*/statsmodels/statsmodels
    
  • PyPi (? 18M / month · ? 5.6K · ⏱️ 07.07.2025):

     pip install statsmodels
    
  • Conda (? 20M · ⏱️ 07.07.2025):

     conda install -c conda-forge statsmodels
    
LightGBM (?42 · 17K) – A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT
  • GitHub (?‍ 330 · ? 3.9K · ? 300K · ? 55K · ? 3.6K – 12% open · ⏱️ 15.07.2025):

     git clone https://g*ithu*b*.com/microsoft/LightGBM
    
  • PyPi (? 10M / month · ? 1.4K · ⏱️ 15.02.2025):

     pip install lightgbm
    
  • Conda (? 3.8M · ⏱️ 31.05.2025):

     conda install -c conda-forge lightgbm
    
Catboost (?42 · 8.5K) – A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2
  • GitHub (?‍ 1.3K · ? 1.2K · ? 410K · ? 19 · ? 2.5K – 25% open · ⏱️ 16.07.2025):

     git clone https://git*hu*b.*com/catboost/catboost
    
  • PyPi (? 2.8M / month · ? 650 · ⏱️ 13.04.2025):

     pip install catboost
    
  • Conda (? 2.1M · ⏱️ 19.05.2025):

     conda install -c conda-forge catboost
    
Fastai (?41 · 27K) – The fastai deep learning library. Apache-2
  • GitHub (?‍ 670 · ? 7.6K · ? 23K · ? 1.8K – 13% open · ⏱️ 05.06.2025):

     git clone https://g*i*thub*.com/fastai/fastai
    
  • PyPi (? 530K / month · ? 330 · ⏱️ 24.05.2025):

     pip install fastai
    
PyFlink (?39 · 25K) – Apache Flink Python API. Apache-2
  • GitHub (?‍ 2K · ? 14K · ? 21 · ⏱️ 17.07.2025):

     git clone https://githu**b.co*m/apache/flink
    
  • PyPi (? 470K / month · ? 36 · ⏱️ 07.07.2025):

     pip install apache-flink
    
ivy (?37 · 14K) – Convert Machine Learning Code Between Frameworks. Apache-2
  • GitHub (?‍ 1.5K · ? 5.6K · ? 17K – 5% open · ⏱️ 16.07.2025):

     git clone https://github.*c*o*m/unifyai/ivy
    
  • PyPi (? 14K / month · ? 16 · ⏱️ 16.06.2025):

     pip install ivy
    
einops (?37 · 9K) – Flexible and powerful tensor operations for readable and reliable code (for.. MIT
  • GitHub (?‍ 33 · ? 370 · ? 80K · ? 200 – 17% open · ⏱️ 25.04.2025):

     git clone https://gi*th*ub.co*m/arogozhnikov/einops
    
  • PyPi (? 10M / month · ? 2.6K · ⏱️ 09.02.2025):

     pip install einops
    
  • Conda (? 410K · ⏱️ 22.04.2025):

     conda install -c conda-forge einops
    
Flax (?37 · 6.7K) – Flax is a neural network library for JAX that is designed for.. Apache-2
  • GitHub (?‍ 270 · ? 720 · ? 61 · ? 15K · ? 1.2K – 33% open · ⏱️ 16.07.2025):

     git clone https://*gith*u*b.com/google/flax
    
  • PyPi (? 1.4M / month · ? 660 · ⏱️ 02.07.2025):

     pip install flax
    
  • Conda (? 110K · ⏱️ 22.04.2025):

     conda install -c conda-forge flax
    
Ignite (?36 · 4.7K) – High-level library to help with training and evaluating neural.. BSD-3
  • GitHub (?‍ 910 · ? 650 · ? 3.9K · ? 1.4K – 11% open · ⏱️ 07.07.2025):

     git clone https://githu*b*.c*om/pytorch/ignite
    
  • PyPi (? 120K / month · ? 110 · ⏱️ 17.07.2025):

     pip install pytorch-ignite
    
  • Conda (? 240K · ⏱️ 30.03.2025):

     conda install -c pytorch ignite
    
Thinc (?35 · 2.9K) – A refreshing functional take on deep learning, compatible with your favorite.. MIT
  • GitHub (?‍ 67 · ? 280 · ? 1.9K · ? 70K · ? 150 – 12% open · ⏱️ 07.03.2025):

     git clone https://g*i*t*hub.com/explosion/thinc
    
  • PyPi (? 11M / month · ? 160 · ⏱️ 04.04.2025):

     pip install thinc
    
  • Conda (? 3.6M · ⏱️ 06.07.2025):

     conda install -c conda-forge thinc
    
Jina (?34 · 22K) – Build multimodal AI applications with cloud-native stack. Apache-2
  • GitHub (?‍ 180 · ? 2.2K · ? 1.9K – 0% open · ⏱️ 24.03.2025):

     git clone https://*git*hub.c*om/jina-ai/jina
    
  • PyPi (? 44K / month · ? 29 · ⏱️ 24.03.2025):

     pip install jina
    
  • Conda (? 100K · ⏱️ 22.04.2025):

     conda install -c conda-forge jina-core
    
  • Docker Hub (? 1.8M · 8 · ⏱️ 24.03.2025):

     docker pull jinaai/jina
    
mlpack (?33 · 5.4K) – mlpack: a fast, header-only C++ machine learning library. BSD-3
  • GitHub (?‍ 330 · ? 1.7K · ? 1.7K – 1% open · ⏱️ 28.06.2025):

     git clone https://gi*t*h*ub.com/mlpack/mlpack
    
  • PyPi (? 3.5K / month · ? 6 · ⏱️ 22.05.2025):

     pip install mlpack
    
  • Conda (? 380K · ⏱️ 22.04.2025):

     conda install -c conda-forge mlpack
    
Ludwig (?32 · 12K · ?) – Low-code framework for building custom LLMs, neural networks,.. Apache-2
  • GitHub (?‍ 160 · ? 1.2K · ? 320 · ? 1.1K – 4% open · ⏱️ 17.10.2024):

     git clone https://git*hu**b.com/ludwig-ai/ludwig
    
  • PyPi (? 1.9K / month · ? 6 · ⏱️ 30.07.2024):

     pip install ludwig
    
Vowpal Wabbit (?32 · 8.6K · ?) – Vowpal Wabbit is a machine learning system which pushes the.. BSD-3
  • GitHub (?‍ 340 · ? 1.9K · ? 2 · ? 1.3K – 11% open · ⏱️ 01.08.2024):

     git clone https://gith*ub.c**om/VowpalWabbit/vowpal_wabbit
    
  • PyPi (? 24K / month · ? 40 · ⏱️ 08.08.2024):

     pip install vowpalwabbit
    
  • Conda (? 380K · ⏱️ 22.04.2025):

     conda install -c conda-forge vowpalwabbit
    
Haiku (?32 · 3.1K) – JAX-based neural network library. Apache-2
  • GitHub (?‍ 89 · ? 250 · ? 2.5K · ? 250 – 29% open · ⏱️ 13.07.2025):

     git clone https://*git*h*ub.com/deepmind/dm-haiku
    
  • PyPi (? 170K / month · ? 190 · ⏱️ 22.04.2025):

     pip install dm-haiku
    
  • Conda (? 37K · ⏱️ 23.04.2025):

     conda install -c conda-forge dm-haiku
    
Sonnet (?31 · 9.9K) – TensorFlow-based neural network library. Apache-2
  • GitHub (?‍ 61 · ? 1.3K · ? 1.5K · ? 190 – 16% open · ⏱️ 09.06.2025):

     git clone https://gi*t*hub.c*om/deepmind/sonnet
    
  • PyPi (? 20K / month · ? 19 · ⏱️ 02.01.2024):

     pip install dm-sonnet
    
  • Conda (? 44K · ⏱️ 22.04.2025):

     conda install -c conda-forge sonnet
    
skorch (?31 · 6.1K) – A scikit-learn compatible neural network library that wraps.. BSD-3
  • GitHub (?‍ 67 · ? 390 · ? 1.7K · ? 540 – 12% open · ⏱️ 26.06.2025):

     git clone https://github.c*o**m/skorch-dev/skorch
    
  • PyPi (? 110K / month · ? 94 · ⏱️ 10.01.2025):

     pip install skorch
    
  • Conda (? 800K · ⏱️ 22.04.2025):

     conda install -c conda-forge skorch
    
tensorflow-upstream (?31 · 690) – TensorFlow ROCm port. Apache-2
  • GitHub (?‍ 4.9K · ? 99 · ? 30 · ? 390 – 2% open · ⏱️ 14.07.2025):

     git clone https://gi*thub.**com/ROCmSoftwarePlatform/tensorflow-upstream
    
  • PyPi (? 4.5K / month · ? 9 · ⏱️ 10.01.2024):

     pip install tensorflow-rocm
    
Geomstats (?28 · 1.4K) – Computations and statistics on manifolds with geometric structures. MIT
  • GitHub (?‍ 95 · ? 260 · ? 150 · ? 570 – 36% open · ⏱️ 22.05.2025):

     git clone https://gi*th*u*b.com/geomstats/geomstats
    
  • PyPi (? 4.8K / month · ? 12 · ⏱️ 09.09.2024):

     pip install geomstats
    
  • Conda (? 7.2K · ⏱️ 22.04.2025):

     conda install -c conda-forge geomstats
    
NuPIC (?27 · 6.4K · ?) – Numenta Platform for Intelligent Computing is an implementation of.. MIT
  • GitHub (?‍ 120 · ? 1.6K · ? 23 · ? 21 · ? 1.8K – 25% open · ⏱️ 03.12.2024):

     git clone https://g*i*thub.com*/numenta/nupic
    
  • PyPi (? 740 / month · ⏱️ 01.09.2016):

     pip install nupic
    
Determined (?27 · 3.2K) – Determined is an open-source machine learning platform.. Apache-2
  • GitHub (?‍ 120 · ? 360 · ? 14K · ? 450 – 22% open · ⏱️ 20.03.2025):

     git clone https://gi**t*hub.com/determined-ai/determined
    
  • PyPi (? 20K / month · ? 4 · ⏱️ 19.03.2025):

     pip install determined
    
Neural Network Libraries (?26 · 2.8K) – Neural Network Libraries. Apache-2
  • GitHub (?‍ 76 · ? 330 · ? 1K · ? 95 – 36% open · ⏱️ 30.06.2025):

     git clone https://g**ithub*.com/sony/nnabla
    
  • PyPi (? 2.5K / month · ? 44 · ⏱️ 29.05.2024):

     pip install nnabla
    
ktrain (?26 · 1.3K · ?) – ktrain is a Python library that makes deep learning and AI.. Apache-2
  • GitHub (?‍ 17 · ? 270 · ? 580 · ? 500 – 0% open · ⏱️ 09.07.2024):

     git clone https://gi*thu*b*.com/amaiya/ktrain
    
  • PyPi (? 3.3K / month · ? 4 · ⏱️ 19.06.2024):

     pip install ktrain
    
pyRiemann (?26 · 680) – Machine learning for multivariate data through the Riemannian.. BSD-3
  • GitHub (?‍ 37 · ? 170 · ? 480 · ? 110 – 2% open · ⏱️ 02.07.2025):

     git clone https://github**.*com/pyRiemann/pyRiemann
    
  • PyPi (? 34K / month · ? 28 · ⏱️ 12.02.2025):

     pip install pyriemann
    
  • Conda (? 14K · ⏱️ 22.04.2025):

     conda install -c conda-forge pyriemann
    
Towhee (?23 · 3.4K · ?) – Towhee is a framework that is dedicated to making neural data.. Apache-2
  • GitHub (?‍ 38 · ? 260 · ? 2.7K · ? 670 – 0% open · ⏱️ 18.10.2024):

     git clone https://github*.c**om/towhee-io/towhee
    
  • PyPi (? 1.9K / month · ⏱️ 04.12.2023):

     pip install towhee
    
fklearn (?21 · 1.5K · ?) – fklearn: Functional Machine Learning. Apache-2
  • GitHub (?‍ 56 · ? 170 · ? 64 – 60% open · ⏱️ 23.04.2025):

     git clone https://gith*u*b*.com/nubank/fklearn
    
  • PyPi (? 1.4K / month · ⏱️ 26.02.2025):

     pip install fklearn
    
Runhouse (?20 · 1K) – Distribute and run AI workloads magically in Python, like PyTorch for.. Apache-2
  • GitHub (?‍ 16 · ? 37 · ? 79 · ? 52 – 19% open · ⏱️ 15.07.2025):

     git clone https://gi*t*hub*.com/run-house/runhouse
    
  • PyPi (? 5.5K / month · ? 1 · ⏱️ 10.03.2025):

     pip install runhouse
    
NeoML (?20 · 780) – Machine learning framework for both deep learning and traditional.. Apache-2
  • GitHub (?‍ 40 · ? 130 · ? 2 · ? 91 – 40% open · ⏱️ 15.07.2025):

     git clone https://**github.co*m/neoml-lib/neoml
    
  • PyPi (? 260 / month · ⏱️ 26.12.2023):

     pip install neoml
    
chefboost (?19 · 480) – A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT
  • GitHub (?‍ 7 · ? 100 · ? 72 · ⏱️ 09.07.2025):

     git clone https://gith*u*b.c*om/serengil/chefboost
    
  • PyPi (? 480 / month · ⏱️ 30.10.2024):

     pip install chefboost
    
ThunderGBM (?17 · 700) – ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2
  • GitHub (?‍ 12 · ? 87 · ? 4 · ? 81 – 48% open · ⏱️ 19.03.2025):

     git clone https://githu*b*.*com/Xtra-Computing/thundergbm
    
  • PyPi (? 150 / month · ⏱️ 19.09.2022):

     pip install thundergbm
    
Show 24 hidden projects…
  • dlib (?40 · 14K) – A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0
  • MXNet (?38 · 21K · ?) – Lightweight, Portable, Flexible Distributed/Mobile Deep.. Apache-2
  • Theano (?37 · 10K · ?) – Theano was a Python library that allows you to define, optimize, and.. BSD-3
  • MindsDB (?33 · 35K) – AIs query engine – Platform for building AI that can answer.. ❗️ICU
  • Chainer (?33 · 5.9K · ?) – A flexible framework of neural networks for deep learning. MIT
  • Turi Create (?32 · 11K · ?) – Turi Create simplifies the development of custom machine.. BSD-3
  • tensorpack (?32 · 6.3K · ?) – A Neural Net Training Interface on TensorFlow, with.. Apache-2
  • TFlearn (?31 · 9.6K · ?) – Deep learning library featuring a higher-level API for TensorFlow. MIT
  • dyNET (?31 · 3.4K · ?) – DyNet: The Dynamic Neural Network Toolkit. Apache-2
  • CNTK (?29 · 18K · ?) – Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT
  • Lasagne (?28 · 3.9K · ?) – Lightweight library to build and train neural networks in Theano. MIT
  • EvaDB (?27 · 2.7K · ?) – Database system for AI-powered apps. Apache-2
  • SHOGUN (?26 · 3.1K · ?) – Unified and efficient Machine Learning. BSD-3
  • xLearn (?24 · 3.1K · ?) – High performance, easy-to-use, and scalable machine learning (ML).. Apache-2
  • neon (?22 · 3.9K · ?) – Intel Nervana reference deep learning framework committed to best.. Apache-2
  • NeuPy (?22 · 740 · ?) – NeuPy is a Tensorflow based python library for prototyping and building.. MIT
  • mace (?21 · 5K · ?) – MACE is a deep learning inference framework optimized for mobile.. Apache-2
  • Neural Tangents (?21 · 2.4K · ?) – Fast and Easy Infinite Neural Networks in Python. Apache-2
  • ThunderSVM (?21 · 1.6K · ?) – ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2
  • Torchbearer (?21 · 640 · ?) – torchbearer: A model fitting library for PyTorch. MIT
  • Objax (?19 · 770 · ?) – Objax is a machine learning framework that provides an Object.. Apache-2
  • elegy (?19 · 470 · ?) – A High Level API for Deep Learning in JAX. MIT
  • StarSpace (?16 · 4K · ?) – Learning embeddings for classification, retrieval and ranking. MIT
  • nanodl (?13 · 290 · ?) – A Jax-based library for building transformers, includes.. MIT

Data Visualization

General-purpose and task-specific data visualization libraries.

Matplotlib (?49 · 21K) – matplotlib: plotting with Python. ❗Unlicensed
  • GitHub (?‍ 1.8K · ? 7.9K · ? 1.8M · ? 11K – 14% open · ⏱️ 15.07.2025):

     git clone https://gith*ub.c*o*m/matplotlib/matplotlib
    
  • PyPi (? 93M / month · ? 60K · ⏱️ 08.05.2025):

     pip install matplotlib
    
  • Conda (? 31M · ⏱️ 15.05.2025):

     conda install -c conda-forge matplotlib
    
Plotly (?47 · 17K) – The interactive graphing library for Python. MIT
  • GitHub (?‍ 290 · ? 2.7K · ? 400 · ? 450K · ? 3.2K – 20% open · ⏱️ 16.07.2025):

     git clone https://*githu**b.com/plotly/plotly.py
    
  • PyPi (? 27M / month · ? 8.6K · ⏱️ 26.06.2025):

     pip install plotly
    
  • Conda (? 10M · ⏱️ 27.06.2025):

     conda install -c conda-forge plotly
    
  • npm (? 3.7K / month · ? 9 · ⏱️ 12.01.2021):

     npm install plotlywidget
    
dash (?46 · 23K) – Data Apps & Dashboards for Python. No JavaScript Required. MIT
  • GitHub (?‍ 190 · ? 2.2K · ? 90 · ? 89K · ? 2K – 27% open · ⏱️ 17.07.2025):

     git clone https://gi*t*hub.c*om/plotly/dash
    
  • PyPi (? 5.1M / month · ? 1.7K · ⏱️ 30.06.2025):

     pip install dash
    
  • Conda (? 1.9M · ⏱️ 10.07.2025):

     conda install -c conda-forge dash
    
Bokeh (?44 · 20K) – Interactive Data Visualization in the browser, from Python. BSD-3
  • GitHub (?‍ 710 · ? 4.2K · ? 100K · ? 8K – 10% open · ⏱️ 16.07.2025):

     git clone https://git*h*u*b.com/bokeh/bokeh
    
  • PyPi (? 4.2M / month · ? 2K · ⏱️ 05.06.2025):

     pip install bokeh
    
  • Conda (? 17M · ⏱️ 12.05.2025):

     conda install -c conda-forge bokeh
    
Seaborn (?42 · 13K) – Statistical data visualization in Python. BSD-3
  • GitHub (?‍ 220 · ? 2K · ? 500 · ? 690K · ? 2.6K – 6% open · ⏱️ 10.07.2025):

     git clone https://gi*th*ub.co*m/mwaskom/seaborn
    
  • PyPi (? 26M / month · ? 11K · ⏱️ 25.01.2024):

     pip install seaborn
    
  • Conda (? 14M · ⏱️ 22.04.2025):

     conda install -c conda-forge seaborn
    
Altair (?41 · 9.9K) – Declarative visualization library for Python. BSD-3
  • GitHub (?‍ 180 · ? 800 · ? 260 · ? 240K · ? 2.1K – 6% open · ⏱️ 16.07.2025):

     git clone https://*g*ithub.co*m/altair-viz/altair
    
  • PyPi (? 30M / month · ? 920 · ⏱️ 23.11.2024):

     pip install altair
    
  • Conda (? 2.8M · ⏱️ 22.04.2025):

     conda install -c conda-forge altair
    
FiftyOne (?39 · 9.7K) – Visualize, create, and debug image and video datasets.. Apache-2
  • GitHub (?‍ 160 · ? 650 · ? 1K · ? 1.7K – 34% open · ⏱️ 16.07.2025):

     git clone https://gi*thub*.c*om/voxel51/fiftyone
    
  • PyPi (? 110K / month · ? 31 · ⏱️ 01.07.2025):

     pip install fiftyone
    
HoloViews (?39 · 2.8K) – With Holoviews, your data visualizes itself. BSD-3
  • GitHub (?‍ 150 · ? 410 · ? 16K · ? 3.4K – 31% open · ⏱️ 10.07.2025):

     git clone https://gi*t*hub.c*om/holoviz/holoviews
    
  • PyPi (? 740K / month · ? 440 · ⏱️ 25.06.2025):

     pip install holoviews
    
  • Conda (? 2.1M · ⏱️ 25.06.2025):

     conda install -c conda-forge holoviews
    
  • npm (? 260 / month · ? 7 · ⏱️ 20.06.2025):

     npm install @pyviz/jupyterlab_pyviz
    
PyVista (?38 · 3.2K) – 3D plotting and mesh analysis through a streamlined interface for.. MIT
  • GitHub (?‍ 180 · ? 580 · ? 930 · ? 5.1K · ? 1.9K – 36% open · ⏱️ 16.07.2025):

     git clone https://g*ith*ub.co*m/pyvista/pyvista
    
  • PyPi (? 570K / month · ? 760 · ⏱️ 16.07.2025):

     pip install pyvista
    
  • Conda (? 730K · ⏱️ 17.07.2025):

     conda install -c conda-forge pyvista
    
PyQtGraph (?37 · 4.1K) – Fast data visualization and GUI tools for scientific / engineering.. MIT
  • GitHub (?‍ 300 · ? 1.1K · ? 13K · ? 1.4K – 32% open · ⏱️ 27.06.2025):

     git clone https://g*ith*ub.c*om/pyqtgraph/pyqtgraph
    
  • PyPi (? 450K / month · ? 1K · ⏱️ 29.04.2024):

     pip install pyqtgraph
    
  • Conda (? 770K · ⏱️ 22.04.2025):

     conda install -c conda-forge pyqtgraph
    
Graphviz (?37 · 1.7K) – Simple Python interface for Graphviz. MIT
  • GitHub (?‍ 24 · ? 220 · ? 93K · ? 190 – 6% open · ⏱️ 15.06.2025):

     git clone https://g**it*hub.com/xflr6/graphviz
    
  • PyPi (? 23M / month · ? 3.2K · ⏱️ 15.06.2025):

     pip install graphviz
    
  • Conda (? 56K · ⏱️ 22.04.2025):

     conda install -c anaconda python-graphviz
    
pandas-profiling (?36 · 13K) – 1 Line of code data quality profiling & exploratory.. MIT
  • GitHub (?‍ 140 · ? 1.7K · ? 400 · ? 6.9K · ? 840 – 30% open · ⏱️ 26.03.2025):

     git clone https://git*hu*b.c*om/ydataai/pandas-profiling
    
  • PyPi (? 350K / month · ? 180 · ⏱️ 03.02.2023):

     pip install pandas-profiling
    
  • Conda (? 530K · ⏱️ 22.04.2025):

     conda install -c conda-forge pandas-profiling
    
plotnine (?36 · 4.3K) – A Grammar of Graphics for Python. MIT
  • GitHub (?‍ 110 · ? 240 · ? 13K · ? 730 – 10% open · ⏱️ 15.07.2025):

     git clone https://gith*ub.*com*/has2k1/plotnine
    
  • PyPi (? 2M / month · ? 400 · ⏱️ 15.07.2025):

     pip install plotnine
    
  • Conda (? 490K · ⏱️ 15.07.2025):

     conda install -c conda-forge plotnine
    
pyecharts (?35 · 15K) – Python Echarts Plotting Library. MIT
  • GitHub (?‍ 45 · ? 2.9K · ? 74 · ? 5.5K · ? 1.9K – 0% open · ⏱️ 26.01.2025):

     git clone https://*g*i*thub.com/pyecharts/pyecharts
    
  • PyPi (? 280K / month · ? 220 · ⏱️ 24.01.2025):

     pip install pyecharts
    
VisPy (?35 · 3.5K) – High-performance interactive 2D/3D data visualization library. BSD-3
  • GitHub (?‍ 210 · ? 620 · ? 2.1K · ? 1.5K – 25% open · ⏱️ 15.07.2025):

    下载源码

    通过命令行克隆项目:

    git clone https://github.com/lukasmasuch/best-of-ml-python.git

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